October 17
• Write and ship a lot of code. Mostly within dbt (SQL, Jinja) • Work directly with analysts and stakeholders to refine requirements, nail down logic, and debug and qualify produced data sets to ensure they meet the underlying business needs • Design and develop high-performance data pipelines. Adhering to SDLC, including CI/CD, best practices • Identify opportunities to optimize or scale existing parts of our stack • Utilize tooling and automation to improve developer efficiency • Monitor data systems to ensure quality and availability while seeking to drive down costs • Contribute to the team processes and community • Mentor other Data Engineers • Be part of our innovation and transformation story
• Strong experience with data warehousing, data lakes, ELT process, and enterprise data platforms such as Snowflake (preferred), Redshift & BigQuery • Experience with building performant data pipelines across disparate systems • Experience with cloud platforms such as AWS (preferred), GCP & Azure • Mastery in SQL and experience in Python • Ability to work independently and collaboratively • An open mind and willingness to be flexible • Experience with Snowflake, dbt, Fivetran, Airflow, AWS, Sagemaker, MLFlow, Kubernetes + Docker, Monte Carlo, Hightouch and Python for custom ETL and data science integrations is a nice-to-have but a desire to learn is a must • A sharp mind, a soft heart and a large funny bone
• Market salary • Stock options that you’ll help make worth a lot • The usual holidays • All-you-can-eat vacation • 401K with ezCater match • Health/dental/FSA • Long-term disability insurance • Remote-hybrid work from our awesome Boston or Denver offices OR your home OR a mixture of both home and office (you choose!) • A tremendous amount of responsibility and autonomy • Wicked awesome co-workers • Cupcakes (and many more goodies) when you’re in one of our offices • Knowing that you helped get this rocket ship to the moon
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